Claire Schwab
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments 21
- Acute Myeloid Leukemia Research 20
-
- Acute Lymphoblastic Leukemia research 40
-
- Childhood Cancer Survivors' Quality of Life 13
- Genetics top 10%
- Genomic variations and chromosomal abnormalities 7
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 5
-
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 2
- Co-authors
- Christine J. HarrisonAnthony V. MoormanAjay VoraLucy ChiltonSally E. KinseyHannah EnsorSue RichardsLisa Jones
- Cited by
- HematologyPublic Health, Environmental and Occupational HealthPediatrics, Perinatology and Child Health
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Claire Schwab
45 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 70
- Hematology 1.2k
- Public Health, Environmental and Occupational Health 1.5k
- Pediatrics, Perinatology and Child Health 691
- Genetics 157
- Pathology and Forensic Medicine 159
Countries citing papers authored by Claire Schwab
This map shows the geographic impact of Claire Schwab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Claire Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire Schwab more than expected).
Fields of papers citing papers by Claire Schwab
This network shows the impact of papers produced by Claire Schwab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Claire Schwab. The network helps show where Claire Schwab may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claire Schwab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 41 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 36 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 9 | |
| 8 | 2017 | 99 | |
| 9 | 2017 | 59 | |
| 10 | 2017 | 24 | |
| 11 | 2016 | 80 | |
| 12 | 2016 | 14 | |
| 13 | 2016 | 1 | |
| 14 | Composite Index for Risk Prediction in Relapsed Childhood Acute Lymphoblastic Leukaemia | 2015 | 3 |
| 15 | 2015 | 113 | |
| 16 | 2014 | 2 | |
| 17 | 2013 | 108 | |
| 18 | 2012 | 74 | |
| 19 | 2011 | 16 | |
| 20 | 2010 | 81 |
About Claire Schwab
Claire Schwab is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (40 papers), Chronic Myeloid Leukemia Treatments (21 papers), Acute Myeloid Leukemia Research (20 papers), Childhood Cancer Survivors' Quality of Life (13 papers), Genomic variations and chromosomal abnormalities (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Hematology (1.2k citations), Public Health, Environmental and Occupational Health (1.5k citations) and Pediatrics, Perinatology and Child Health (691 citations). Claire Schwab has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Christine J. Harrison, Anthony V. Moorman, Ajay Vora, Lucy Chilton, Sally E. Kinsey, Hannah Ensor, Sue Richards, Lisa Jones, Lisa J. Russell and Christopher Mitchell. Their work appears in journals such as Journal of Clinical Oncology, Blood and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.